Results 91 to 100 of about 86,509 (306)

Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird, Haley McQuown, Jihyun Park, Samuel J. Teener, Ian F. Webber‐Davis, Andrew D. Carter, Dae‐Gyu Jang, Eva L. Feldman, Stephen A. Goutman, Benjamin J. Murdock   +9 more
wiley   +1 more source

Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation

, 2023
Medical image segmentation is an important and complex task in clinical practices, but the widely used U-Net usually cannot achieve satisfactory performances in some clinical challenging cases. Therefore, some advanced variants of UNet are proposed using
Chen, Junyang, Tian, Biao; orcid:, Leung, Victor C. M.; orcid:, Wang, Xiangtao, Lukasiewicz, Thomas, Yuan, Di, Gu, Junhua, Xu, Zhenghua; orcid:, Liu, Shijie   +8 more
core   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs, Marcel Naumann, Annaliis Lehto, Hanna Schön, Jens Kurth, Johannes Prudlo, Andreas Hermann, Elisabeth Kasper   +7 more
wiley   +1 more source

MRMAFusion: A Multi-Scale Restormer and Multi-Dimensional Attention Network for Infrared and Visible Image Fusion

Applied Sciences
Infrared and visible image fusion improves the visual representation of scenes. Current deep learning-based fusion methods typically rely on either convolution operations for local feature extraction or Transformers for global feature extraction, often ...
Liang Dong, Guiling Sun, Haicheng Zhang, Wenxuan Luo   +3 more
doaj   +1 more source

Underwater Target Detection Lightweight Algorithm Based on Multi-Scale Feature Fusion

, 2023
The performance of underwater target detection algorithms is affected by poor imaging quality in underwater environments. Due to the arithmetic power limitation of underwater devices, existing deep learning networks are unable to provide efficient ...
Zhenheng Wang, Jian Zhang, Liang Chen, Shaowu Zhou, Yuyi Yang, Lianghong Wu   +5 more
core   +1 more source

Sex Differences in Medication Discontinuation in Axial Spondyloarthritis

Arthritis Care &Research, EarlyView.
Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or JAK inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we assessed ...
Rachael Stovall, Cinthia Blat, Eric Roberts, Jean W. Liew, Katherine Wysham, Namrata Singh, Janna Friedly, Lianne S. Gensler, Gabriela Schmajuk, Jinoos Yazdany   +9 more
wiley   +1 more source

Improved of YOLOv8-n Algorithm for Steel Surface Defect Detection

Metals
To address the limitations in multi-scale feature processing and illumination sensitivity of existing steel surface defect detection algorithms, we proposed ADP-YOLOv8-n, enhancing accuracy and computational efficiency through advanced feature fusion and
Qingqing Xiang, Gang Wu, Zhiqiang Liu, Xudong Zeng   +3 more
doaj   +1 more source

Toward reduction of artifacts in fused images

, 2011
Most fusion satellite image methodologies at pixel-level introduce false spatial details, i.e.artifacts, in the resulting fusedimages. In many cases, these artifacts appears because image fusion methods do not consider the differences in roughness or ...
Lagos, Octavio, Gonzalo Martín, Consuelo, Mario Lillo-Saavedra, Consuelo Gonzalo, Octavio Lagos, Lillo Saavedra, Mario Fernando   +5 more
core   +1 more source

Multi-scale Hypergraph-based Feature Alignment Network for Cell Localization

, 2023
Cell localization in medical pathology image analysis is a challenging task due to the significant variation in cell shape, size and color shades.
Bo Li (14191376)
core   +1 more source

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

Advanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham, Chenyu Wen, Mohammad Hadi Khaksaran, Won‐Yong Lee, Javier Cruz, Klas Hjort, Dongping Wu, Shi‐Li Zhang   +7 more
wiley   +1 more source